A team describes Spark Streaming–style processing as short batches fired back-to-back to approximate continuous work. What mental model is that?
Select an answer to reveal the explanation.
Short Explanation
Micro-batch is the “chop the stream into tiny time loaves and bake them quickly” model—close enough to continuous for many city jobs. It is not an annual cube nap or a single forever cursor on one core.
Full Explanation
Micro-batch streaming processes data in small time-sliced batches to approximate continuous stream processing, as in classic Spark Streaming styles. Annual refreshes with multi-year gaps, no executor scheduling, and a single forever SQL cursor on one core are different models.